Centre for Advanced Spatial Analysis, University College London, Gower Street, London, WC1E 6BT, UK.
University Gustave Eiffel, LICIT, 69518, Lyon, France.
Sci Rep. 2021 Mar 23;11(1):6626. doi: 10.1038/s41598-021-85555-1.
Misinformation is usually adjusted to fit distinct narratives and propagates rapidly through social networks. False beliefs, once adopted, are rarely corrected. Amidst the COVID-19 crisis, pandemic-deniers and people who oppose wearing face masks or quarantine have already been a substantial aspect of the development of the pandemic. With the vaccine for COVID-19, different anti-vaccine narratives are being created and are probably being adopted by large population groups with critical consequences. Assuming full adherence to vaccine administration, we use a diffusion model to analyse epidemic spreading and the impact of different vaccination strategies, measured with the average years of life lost, in three network topologies (a proximity, a scale-free and a small-world network). Then, using a similar diffusion model, we consider the spread of anti-vaccine views in the network, which are adopted based on a persuasiveness parameter of anti-vaccine views. Results show that even if anti-vaccine narratives have a small persuasiveness, a large part of the population will be rapidly exposed to them. Assuming that all individuals are equally likely to adopt anti-vaccine views after being exposed, more central nodes in the network, which are more exposed to these views, are more likely to adopt them. Comparing years of life lost, anti-vaccine views could have a significant cost not only on those who share them, since the core social benefits of a limited vaccination strategy (reduction of susceptible hosts, network disruptions and slowing the spread of the disease) are substantially shortened.
错误信息通常被调整以适应不同的叙述,并通过社交网络迅速传播。一旦被采纳,虚假信念很少得到纠正。在 COVID-19 危机期间,否认大流行的人和反对戴口罩或隔离的人已经成为大流行发展的一个重要方面。随着 COVID-19 疫苗的出现,不同的反疫苗叙述正在被创造出来,并可能被具有重大影响的大量人群所采纳。假设完全遵守疫苗接种,我们使用扩散模型来分析传染病的传播以及三种网络拓扑结构(接近网络、无标度网络和小世界网络)中不同疫苗接种策略的影响,以平均生命年损失来衡量。然后,我们使用类似的扩散模型,考虑反疫苗观点在网络中的传播,这些观点是根据反疫苗观点的说服力参数来采纳的。结果表明,即使反疫苗观点的说服力很小,也会有很大一部分人很快接触到它们。假设所有个体在接触后都有同样的可能性采纳反疫苗观点,那么网络中暴露程度更高的更中心节点更有可能采纳它们。从生命年损失的角度来看,反疫苗观点不仅对那些分享这些观点的人会产生重大的代价,因为有限的疫苗接种策略的核心社会效益(减少易感宿主、网络中断和减缓疾病传播)也会大大缩短。